ICSA

2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的相关论文，ppt以及matlab代码. Dark channel prior 是一种对无雾的图像的统计规律：在无雾图像中，大部分图像块中至少有一个颜色通道具有很小的颜色强度值。利用dark channel prior，可以直接从一幅有雾的图像中估计出雾的浓度，并恢复出高质量的去雾图像。(CVPR best paper in 2009 (He Kai Ming Single Image Removal Haze is the Using the Dark Channel) paper, ppt and the matlab code, it is)

在ccs编程环境中，用c语言实现对图像均值滤波的处理。(In ccs programming environment, using c language mean filtering the image processing.)

主成分分析ppt。对主成分分析的细节讲述的很清楚。(Principal component analysis ppt. The details of the principal component analysis described in very clear.)

matlab数字图像分割，可以提取一幅图中想要的目标，并计算出目标的面积，周长和长宽比。(Digital Image Segmenting Useing Matlab.This program can extract the interesting target from a figure, and calculate the target area, perimeter and aspect ratio.)

全局法图像垂直条纹去除程序。可以处理高光谱图像、RGB图像，注释详尽。对于倾斜的条纹噪声图像，需要西安进行旋转，再使用该程序去除。内涵循环低速版和无循环高速版，通过比较（处理高光谱数据），高速版的速度比低速版快上近20倍。(Global image vertical stripes removal procedures. Can process the hyperspectral image, RGB image, detailed notes. The stripe noise images of Xi an, need to rotate, then use the program to remove. Connotation of circular low version and loop free high speed version, by comparing (hyperspectral data processing), high speed rate nearly 20 times than the low-speed model.)

BM3D图像去噪算法。当下较为先进的图像去噪算法，可以对图像进行较好的去噪。在代码中包含了彩色图像，运动图像等多种bm3d去噪。(BM3D image denoising. Present a more advanced image denoising algorithm, can be a good image denoising. Included in the code of color images, moving images, and other bm3d denoising.)

Application of the Fourier-Mellin transform to translation-, rotationand scale-invariant plant leaf identification

Canny边缘检测算法,已经试过，可以用。能较好的检测边缘。(Canny edge detection algorithm, has been tried, you can use. To better edge detection.)

数字图像处理(Digital Image Processing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。 [1] 数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善）;三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长(Digital Image Processing (DIP) is a method and technology of removing noise, enhancing, restoring, segmenting and extracting features from images by computer. [1] The emergence and rapid development of digital image processing are mainly influenced by three factors: first, the development of computer; second, the development of mathematics (especially the establishment and improvement of discrete mathematics theory); third, the growth of the demand for extensive applications in agriculture, animal husbandry, forestry, environment, military, industry and medicine.)

利用全卷积神经网络，实现图像的语义分割，基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)